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# DevOps / SRE Engineer

- **Company:** Learn Beyond Consulting LLC
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Computer Networks, Continuous Integration, DevOps, Domain Name System (DNS), Python (Programming Language), Octopus Deploy, Reliability Engineering, Prometheus, Systems Integration, Computer Networking Systems, Google Cloud, Load Balancing, Istio, Grafana, Mttr, Reliability of Systems, Gitlab, Containerization, Kubernetes, Infrastructure Automation Frameworks, Terraform, Splunk, Dynatrace, Docker, Jenkins
- **Published:** August 28, 2026
- **Apply:** https://www.dice.com/job-detail/9bd5ba6c-3993-4ada-9cd2-9304c6bbf548

## About the Role

Seeking a DevOps/SRE Engineer with strong Kubernetes and observability experience to build and maintain containerized infrastructure, improve application visibility, and enhance system health monitoring through dashboards, telemetry, and predictive analysis., * Strong hands-on Kubernetes & Docker

 * Terraform and infrastructure automation.
 * Open Telemetry / observability
 * PrometheGrafana and monitoring/dashboard development.
 * CI/CD and GitOps experience.
 * Cloud experience with AWS, Azure, or Google Cloud Platform.
 * Strong networking fundamentals: ingress, DNS, load balancing, CNI, service mesh, network policies.
 * SRE concepts including SLA/SLO, MTTR/MTTD, incident management, and reliability engineering.

## Description

* Build, configure, and maintain Kubernetes clusters and containerized environments.
 * Automate infrastructure provisioning and rebuilds using Terraform, Helm, and IaC.
 * Develop and maintain monitoring and observability solutions using Open Telemetry, Prometheus, Grafana, Dynatrace, Splunk, etc.
 * Build dashboards, alerts, SLIs/SLOs, and telemetry solutions to improve system reliability.
 * Support CI/CD and GitOps using Jenkins, GitLab, Argo CD, or Flux.
 * Troubleshoot Kubernetes networking, storage, performance, and application issues.
 * Collaborate with development and architecture teams on integrations and cloud-native solutions.
 * Automate operational tasks using Python, Go, or Bash.


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